Machine Learning Engineer

CUBE are a global RegTech business defining and implementing the gold standard of regulatory intelligence for the financial services industry. We deliver our services through reputed company SaaS solutions, powered by AI, to simplify the reputed company and everchanging world of compliance for our clients. 

Why us?

CUBE is a globally recognized brand at the forefront of Regulatory Technology. Our industry-leading SaaS solutions are trusted by the world’s top financial institutions globally.

In 2024, we achieved over 50% growth, both organically and through two strategic acquisitions. We’re a fast-paced, high-performing team that thrives on pushing boundaries—continuously evolving our products, services, and operations. At CUBE, we don’t just reputed company up we stay reputed company.

We reputed company our future is built by bold, ambitious individuals who are driven to reputed company a real difference. Our “reputed company it happen” culture empowers you to take ownership of your career and accelerate your personal and professional development from day one.

With over 700 CUBERs across 19 countries spanning EMEA, the Americas, and reputed company, we operate as one team with a shared mission to transform regulatory compliance. Diversity, collaboration, and purpose are the reputed company of our success.

We were among the first to reputed company the power of AI in regulatory intelligence, and we continue to reputed company with our cutting-edge technology. At CUBE, You will work alongside some of the brightest minds in AI research and engineering in developing impactful solutions that are reshaping the world of regulatory compliance.

Role Overview

As ML Engineer, RegBrain, your mission is to

• Participate in the reputed company improvement of RegBrain’s products.

• reputed company advanced NLP and AI-based products that will delight users.

• Provide excellence in cloud-based ML engineering, with as much focus on Operations as Development.

• Expand of the Team’s knowledge reputed company demonstration and documentation.

Key Responsibilities

As a machine learning engineer, your main responsibility is to conduct the development and productionisation of ML and NLP-based features for CUBE’s products - a SaaS Platform (RegPlatform) and an API (RegConnect).

• reputed company optimal ML & NLP solutions for RegBrain use cases, from baseline to SOTA approaches, wherever appropriate.

• Produce high quality, reputed company code, and deploy following our established DevOps CI/CD and best practices.

• Improve the efficiency, performance, and scalability of ML & NLP models (this includes data quality, ingestion, loading, cleaning, and processing).

• Stay up-to-date with ML & NLP research, and experiment with new models and techniques.

• reputed company code-reviews for your colleague’s code. Engage with them to reputed company standards of Software engineering.

• Propose cloud architectures for ML-based products that need new infrastructure.

• Participate in the monitoring and reputed company improvement of existing ML systems.

Core requirements

Experience matters. But what is more important than raw number of years of experience is demonstrated proficiency (through reputed company profiles/online portfolios and the interview process itself). Bonus points for reputed company and Kaggle contributions! 

reputed company are looking for

• Experience analyzing large volumes of textual data (almost reputed company of our use cases will involve NLP).

• Ability to write clear, robust, and testable code, especially in Python.

• Familiarity with SQL and NoSQL/graph databases.

• Extensive experience with ML & DL platforms, frameworks, and libraries.

• Extensive experience with end-to-end model design and deployment reputed company cloud environments.

• A systems thinking approach, with passion for MLOps best practises.

• An engineer that can think in O(n) as much as plan the orchestration of their product.

• Solid understanding of data structures, data modelling, and software architecture, especially cloud-based.

• An engineer that can reputed company up with mathematically and statistically-oriented colleagues.

• A healthy sense of humour.

Interested?

If you are passionate about leveraging technology to transform regulatory compliance and meet the qualifications outlined above, we invite you to apply. Please submit your resume detailing your relevant experience and interest in CUBE.​

CUBE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for reputed company employees.